HOME INDEXING CALL FOR PAPERS JOURNAL POLICY MANUSCRIPT CURRENT ARCHIVES ONLINE SUBMISSION EDITORIAL TEAM
   
TITLE : ENHANCED PREFIX TREE MINING: SEQUENTIAL AND NON SEQUENTIAL PATTERNS  
AUTHORS : Joshila Grace.L.K      Maheswari.V            
ABSTRACT :

The entire work focuses on the development of E-commerce which in turn increases the business of the individual or a group. In this fast moving environment most of the necessities are satisfied by online. Thus the web site that reaches the viewer in an efficient way would be the first to come out in this competitive world. How this can be analyzed for the web site is by finding the efficiency of the web site by using the parameters retrieved from the log file. The parameters that are considered for the proposed work are utility, frequency, downloads and book marks. Using the web log details the patterns are extracted and enhanced prefix tree is is generated. For a given pattern of the web developer the mining is done and the patterns are extracted for efficiency. A mathematical model is generated for finding the weight values of each a pattern and for finding the efficiency. It considers both sequential and non sequential patterns. 

Key words: Enhanced Prefix tree, Sequential patterns, non sequential patterns
 
  Download Full Paper
 
Copyrights ©Sathyabama University.
Powered By: Infospace Technologies (I) Pvt ltd